Computes the matrix of distances between all pairs of points in a set of points
# S3 method for default
pairdist(X, Y=NULL, …, period=NULL, method="C", squared=FALSE)Arguments specifying the coordinates of a set of points.
    Typically X and Y would be
    numeric vectors of equal length.
    Alternatively Y may be omitted and X may be
    a list with two components x and y,
    or a matrix with two columns.
Ignored.
Optional. Dimensions for periodic edge correction.
String specifying which method of calculation to use.
    Values are "C" and "interpreted".
    Usually not specified.
Logical. If squared=TRUE, the squared distances are
    returned instead (this computation is faster).
A square matrix whose [i,j] entry is the distance
  between the points numbered i and j.
Given the coordinates of a set of points,
  this function computes the Euclidean distances between all pairs of
  points, and returns the matrix of distances.
  It is a method for the generic function pairdist.
The arguments X and Y must determine
  the coordinates of a set of points. Typically X and
  Y would be numeric vectors of equal length. Alternatively
  Y may be omitted and X may be a list with two components
  named x and y, or a matrix or data frame with two columns.
Alternatively if period is given,
  then the distances will be computed in the `periodic'
  sense (also known as `torus' distance).
  The points will be treated as if they are in a rectangle
  of width period[1] and height period[2].
  Opposite edges of the rectangle are regarded as equivalent.
If squared=TRUE then the squared Euclidean distances
  \(d^2\) are returned, instead of the Euclidean distances \(d\).
  The squared distances are faster to calculate, and are sufficient for
  many purposes (such as finding the nearest neighbour of a point).
The argument method is not normally used. It is
  retained only for checking the validity of the software.
  If method = "interpreted" then the distances are
  computed using interpreted R code only. If method="C"
  (the default) then C code is used. The C code is somewhat faster.
# NOT RUN {
   x <- runif(100)
   y <- runif(100)
   d <- pairdist(x, y)
   d <- pairdist(cbind(x,y))
   d <- pairdist(x, y, period=c(1,1))
   d <- pairdist(x, y, squared=TRUE)
# }
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